Where is this course held?

In person at Network Hub, 300 Kensal Road, London W10 5BE. Nearest stations: Kensal Green and Kensal Rise (London Overground).

How many people are in each group?

Sessions are capped at 10 participants to keep the training practical and ensure every participant gets direct attention from the trainers.

Who delivers the training?

Sessions are typically delivered by two trainers from Strategic Agenda. Fola Yahaya lead the majority of courses.

Is there a bursary or reduced-price option?

Yes. Every public cohort has at least one bursary seat reserved for participants from small charities or individuals who could not otherwise afford to attend. Contact SA Training before booking to discuss availability.

Can SA Training run this course for my team?

Yes. Bespoke team days are available in person at your office or online, designed around your team's specific work. Contact SA Training to arrange a free 30-minute scoping call.

Hybrid

Vibecoding Properly: Design, Control and Deployment

Move from rough AI prototypes to branded, deployable apps built with proper control.

Vibecoding Properly: Design, Control and Deployment is a practical, small-group training course held in person at Network Hub, 300 Kensal Road, London W10 5BE, led by Fola Yahaya of SA Training (Strategic Agenda). The course runs as a 6-hour session with a maximum of 10 participants and is designed for People who have used AI app builders and now want apps that look more professional, cost less to iterate, and can be shared responsibly..

For people who have built a few AI-generated apps and now want better control. The course moves from quick prototypes to cleaner, more consistent apps — built on a proper brief, a reusable design system, a basic grasp of the stack, and a safer route to deployment. Who it's for: People who have used app builders and now want apps that look more professional, cost less to iterate, and can be shared responsibly. Learning outcomes: 1. Brief the AI through an iterative conversation — style, audience, objective, verifiable tests, and accepted tech debt — before any code is written. 2. Create a simple design system so AI-generated apps stop looking the same. 3. Cut token waste by reusing context, prompts, components, and clear task briefs. 4. Understand the basic stack and move from browser wrappers into a controlled local workflow to deploy safely. Day structure: 09:30 — Why this app, and where prototypes fail: Pin down why you are building and whether you should, then diagnose sameness, wasted tokens, fragile logic, and unclear ownership in existing builds. 10:00 — Briefing the AI to succeed: Treat setup as a 15-minute iterative conversation: let the coder get to know your style examples, audience, and objective. Learn to ask the right questions, gather example sites to guide design, and agree verifiable tests and the tech-debt you will accept before any code is written. 11:15 — From brief to design system: Turn the agreed brief and references into colours, type, spacing, and reusable components that keep the app consistent. Hand the finished plan to the AI. 13:15 — Token economy: Rewrite a wasteful build sequence so the AI reuses context, prompts, and components instead of repeating instructions. 14:15 — Desktop workflows: Work with local files and an agentic coding assistant so you can see, understand, and keep the code. 15:15 — Stack literacy: Open the project and identify frontend, backend logic, data calls, packages, and build scripts. 15:50 — Shipping for real: Prepare hosting, authentication, environment settings, and a custom-domain route, then critique against design, cost, security, and support. Note: This level is about moving from impressive demo to responsible shared tool. The app can be shared only when data, access, support, and ownership are understood.

What will I leave with?

A branded app, a simple design system, a structured project with reference material, a local project folder or repo, and a deployment checklist covering hosting, auth, domains, and support.

Who is this course for?

People who have used AI app builders and now want apps that look more professional, cost less to iterate, and can be shared responsibly.

Prerequisites

Some experience with an AI app builder (e.g. Lovable, Bolt, or similar). No coding required.

Practical details

Location: Network Hub, 300 Kensal Road, London W10 5BE. Nearest stations: Kensal Green and Kensal Rise (London Overground).
Format: In-person, hands-on, small group.
Group size: Maximum 10 participants per session.
Trainers: Typically two trainers per session — Fola Yahaya.
What to bring: A laptop with the relevant tool accounts active. Full details sent with your booking confirmation.
Included: Refreshments and scheduled comfort breaks for in-person sessions.

Your trainer

Fola Yahaya

AI, Digital Transformation, AI Strategy, AI workflows

Dr Fola Yahaya is an AI expert, published author and the Founder of Strategic Agenda, a global strategic communications consultancy which for more than 20 years has been helping clients like the UN share compelling stories so that the right people do the right things.